Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PicsArt/gen-ai-skills --skill multi-channel-bundlegit clone --depth 1 https://github.com/PicsArt/gen-ai-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/picsart/gen-ai-skills/multi-channel-bundle)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/multi-channel-bundle"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/multi-channel-bundle/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/multi-channel-bundle"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/multi-channel-bundle.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00898 |
| Opus 5 | $0.00008 | $0.00449 |
| Sonnet 5 | $0.00003 | $0.00180 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade C, and why
multi-channel-bundle scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multi-Channel Bundle
Produce a coordinated set of assets — hero, social variants, OG image, reel, optionally audio — for a single push: a marketing campaign or a product launch. Replaces two near-identical skills (campaign-kit, launch-kit) with one entry point and two mode references that differ only in scale, naming, and channel mix.
Input: the brief (campaign or launch). Output: a folder per channel with on-brand, on-format assets ready to ship.
When to Use
| Mode | Trigger phrases | Reference |
|---|---|---|
| campaign | "campaign kit", "multi-channel campaign assets", "LinkedIn + IG + email + LP + ads in one go" | references/modes/campaign.md |
| launch | "launch kit", "product launch assets", "launch day social + reel + soundtrack" | references/modes/launch.md |
If the user wants pitch-deck slides for an agency client, that's agency-pitch-mockups. If they want N ad variants from one hero (no other channels), that's marketer-ad-variant-factory.
Prerequisites
Picsart gen-ai CLI installed and authenticated:
curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash
gen-ai login
gen-ai whoami
Per-mode setup (channel matrix, copy alignment, motion source, audio licensing) lives inside each mode reference.
How to Run
- Identify the mode from the user's request using the table above.
- Load the corresponding mode reference:
Readreferences/modes/<mode>.md. - Follow the per-mode procedure — confirm channels, build the manifest, batch-generate.
- Return here only when switching modes.
Quick Reference
# Bundle generation is always a batch run
gen-ai batch --manifest manifest.json --output bundle/
# Estimate before committing
gen-ai pricing --manifest manifest.json
Manifest templates per mode live in the mode references.
Procedure
Shared outer loop:
- Scope — confirm: which channels, hero asset, copy lock state, motion (reel) required yes/no, audio required yes/no, deadline.
- Manifest — assemble a JSON manifest covering every required channel and format.
- Estimate —
gen-ai pricing --manifest manifest.json. Surface the total. - Generate —
gen-ai batch. Stream progress. - Compose — if a reel is in scope, hand the clips to
gen-ai-usefor assembly. - Package — drop into
bundle/<run>/<channel>/. Optionally zip viaagency-client-handoff.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 91 lines · 16 tokens per session scan C 3580c1188bc5
multi-channel-bundle is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 15d ago), licensed MIT. It adds 16 tokens to every session and 898 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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